5 Regression Projects in Python (with Full Code)

1. 1Build a simple linear regression model using scikit-learn to predict house prices
2. 2Run a multiple linear regression model using statsmodels to analyze the relationship between variables
3. 3Configure a polynomial regression model using numpy to handle non-linear relationships
4. 4Test a ridge regression model using scikit-learn to prevent overfitting
5. 5Apply a lasso regression model using scikit-learn to select relevant features

Data scientists and machine learning engineers can benefit from this article to practice and improve their regression analysis skills

💡 Practicing regression projects in Python can help improve your machine learning skills and handle various data analysis tasks

🚀 Improve your ML skills with 5 regression projects in Python! 📊